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http://dx.doi.org/10.7472/jksii.2015.16.1.75

A Study on the Link Server Development Using B-Tree Structure in the Big Data Environment  

Park, Sungbum (Big Data Strategy Center, National Information Society Agency)
Hwang, Jong Sung (Big Data Strategy Center, National Information Society Agency)
Lee, Sangwon (Division of Information and Electronic Commerce, Wonkwang University)
Publication Information
Journal of Internet Computing and Services / v.16, no.1, 2015 , pp. 75-82 More about this Journal
Abstract
Major corporations and portals have implemented a link server that connects Content Management Systems (CMS) to the physical address of content in a database (DB) to support efficient content use in web-based environments. In particular, a link server automatically connects the physical address of content in a DB to the content URL shown through a web browser screen, and re-connects the URL and the physical address when either is modified. In recent years, the number of users of digital content over the web has increased significantly because of the advent of the Big Data environment, which has also increased the number of link validity checks that should be performed in a CMS and a link server. If the link validity check is performed through an existing URL-based sequential method instead of petabyte or even etabyte environments, the identification rate of dead links decreases because of the degradation of validity check performance; moreover, frequent link checks add a large amount of workload to the DB. Hence, this study is aimed at providing a link server that can recognize URL link deletion or addition through analysis on the B-tree-based Information Identifier count per interval based on a large amount of URLs in order to resolve the existing problems. Through this study, the dead link check that is faster and adds lower loads than the existing method can be performed.
Keywords
Link Server; B-Tree; Big Data; Content management Server;
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